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Elements of instance matching benchmarks: a short overview

  • Posted on: 16 June 2015
  • By: Irini Fundulaki

The number of datasets published in the Web of Data as part of the Linked Data Cloud is constantly increasing. The Linked Data paradigm is based on the unconstrained publication of information by different publishers, and the interlinking of web resources through “same-as” links which specify that two URIs correspond to the same real world object. In the vast number of data sources participating in the Linked Data Cloud, this information is not explicitly stated but is discovered using instance matching techniques and tools.

Sixth TUC Meeting: SPIMBENCH for the Semantic Publishing Domain by Nina Saveta (Forth)

  • Posted on: 22 April 2015
  • By: Damaris Coll

The second presentation during last LDBC's  6th TUC Meeting that took place in Barcelona was called SPIMBENCH: A Scalable, Schema-Aware, Instance Matching Benchmark for the Semantic Publishing Domain and presented by Tzanina Saveta from FORTH

Watch Tzanina Saveta presenting the benchmark for the Semantic Publishing domain.

Sixth TUC Meeting: Semantic Publishing Benchmark v2.0 by Venelin Kotsev (Ontotext)

  • Posted on: 15 April 2015
  • By: Damaris Coll

Last 19th and 20th of March took place the sixth edition of the Technical User Community Meeting held in Barcelona. During these two days LDBC hosted more than 15 presentations from key members of the industry and research regarding graphs and RDF that we are going to share as independent blog posts during the following weeks.

Watch the first presentation with Venelin Kotsev presenting the details of the evolution of the SPB.

Making Semantic Publishing Execution Rules

  • Posted on: 18 November 2014
  • By: Orri Erling

LDBC SPB (Semantic Publishing Benchmark) is based on the BBC linked data platform use case. Thus the data modelling and transaction mix reflects the BBC's actual utilization of RDF. But a benchmark is not only a condensation of current best practices. The BBC linked data platform is an Ontotext Graph DB deployment. Graph DB was formerly known as Owlim.

Using LDBC-SPB to Find OWLIM Performance Issues

  • Posted on: 20 August 2014
  • By: Venelin Kotsev

During the past six months we (the OWLIM Team at Ontotext) have integrated the LDBC Semantic Publishing Benchmark (LDBC-SPB) as a part of our development and release process.

First thing we’ve started using the LDBC-SPB for is to monitor the performance of our RDF Store when a new release is about to come out.

Initially we’ve decided to fix some of the benchmark parameters :

Getting Started with the Semantic Publishing Benchmark

  • Posted on: 8 August 2014
  • By: Irini Fundulaki

The Semantic Publishing Benchmark (SPB), developed in the context of LDBC, aims at measuring the read and write operations that can be performed in the context of a media organisation. It simulates the management and consumption of RDF metadata describing media assets and creative works. The scenario is based around a media organisation that maintains RDF descriptions of its catalogue of creative works. These descriptions use a set of ontologies proposed by BBC that define numerous properties for content; they contain asll RDFS schema constructs and certain OWL ones.

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